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authorChristoph Willing <chris.willing@iinet.net.au>2016-08-25 11:26:04 +1000
committerDavid Spencer <idlemoor@slackbuilds.org>2016-08-28 00:25:35 +0100
commit619e8a697652d0560b5b654ee51b2981198db445 (patch)
tree3d01bd706d53f00ff928ac375ff8fadc2c2b26dd /development/numpy3/README
parent70857804a667696d82dc2b07880522c702cd6edd (diff)
development/numpy3: Updated for version 1.11.1
Signed-off-by: Christoph Willing <chris.willing@iinet.net.au>
Diffstat (limited to 'development/numpy3/README')
-rw-r--r--development/numpy3/README25
1 files changed, 19 insertions, 6 deletions
diff --git a/development/numpy3/README b/development/numpy3/README
index f219a96c84cd7..579bc2a36fc60 100644
--- a/development/numpy3/README
+++ b/development/numpy3/README
@@ -9,13 +9,26 @@ interfacing with general-purpose data-base applications.
There are also basic facilities for discrete fourier transform, basic
linear algebra and random number generation.
-If you need to build numpy for debugging, set DEBUG=y. If software
-depending on numpy is having problems with the new relaxed strides
-checking, set NPY_RSC=0.
+If you need to build numpy for debugging, set DEBUG=y. If you use software
+which is having problems with numpy's new relaxed strides checking, set
+NPY_RSC=0.
-It is highly recommended to install optimized BLAS and LAPACK libs
-before installing numpy. You may choose between ATLAS+LAPACK and
-OpenBLAS.
+It is highly recommended to install libraries implementing BLAS and LAPACK
+before installing numpy. You may choose between:
+ a) BLAS and LAPACK (reference but unoptimized and thus slow)
+ b) OpenBLAS (optimized, provides LAPACK too)
+ c) ATLAS and LAPACK (optimized), good to read README.ATLAS
+All these are available on SlackBuilds.org.
+
+If you want to use the UMFPACK library instead of SuperLU to solve unsymmetric
+sparse linear systems, then run this Slackbuild with NO_UMFPACK set to "no"
+and then install scikit-umfpack on top of scipy. In this context, UMFPACK is an
+optional dependency for numpy. Nevertheless, note that presently scikit-umfpack
+is not available on SlackBuilds.org while its dependencies are.
+
+NOTE: If you use this SlackBuild, numpy will run with the python version
+ provided by Slackware Linux, which is presently 2.7.xx. If you'd like to
+ use python 3.x then you have to install numpy with the numpy3 SlackBuild.
IMPORTANT: The version installed by this SlackBuild does NOT include the
oldnumeric and numarray compatibility modules since starting with